AI models
LM-Design
Training compute
1.4×10²⁰ FLOP
Parameters
6.9M
Published
Jul 23, 2023
LM-Design is an AI model developed by ByteDance and University of Wisconsin Madison (China and United States), first published in July 2023. It works in the biology domain, on tasks such as protein design.
Training it took an estimated 1.4×10²⁰ FLOP of compute (estimation method: hardware). The model has 6,900,000 parameters. It was trained on roughly 811.1K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 46 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- ByteDance, University of Wisconsin Madison
- Country of organization
- China, United States
- Domain
- Biology
- Task
- Protein design
- Training compute
- 1.4×10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 6,900,000
- Dataset size
- 811.1K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 46
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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